Power management for a graphics processing unit or other circuit

ABSTRACT

In one embodiment, a system includes power management control that controls a duty cycle of a processor to manage power. The duty cycle may be the amount of time that the processor is powered on as a percentage of the total time. By frequently powering up and powering down the processor during a period of time, the power consumption of the processor may be controlled while providing the perception that the processor is continuously available. For example, the processor may be a graphics processing unit (GPU), and the period of time over which the duty cycle is managed may be a frame to be displayed on the display screen viewed by a user of the system.

This application is a continuation of U.S. patent application Ser. No. 16/139,631, filed on Sep. 24, 2018 and now U.S. Pat. No. 11,009,938, which is a continuation of U.S. patent application Ser. No. 15/284,660, filed on Oct. 4, 2016 and now U.S. Pat. No. 10,114,446, which is a continuation of U.S. patent application Ser. No. 14/549,656, filed Nov. 21, 2014 and now U.S. Pat. No. 9,494,994, which is a continuation of U.S. patent application Ser. No. 13/090,459, filed Apr. 20, 2011 and now U.S. Pat. No. 8,924,752. The above applications are incorporated by reference herein in their entireties.

BACKGROUND Technical Field

Embodiments described herein are related to the field of power management in integrated circuits and systems employing integrated circuits.

Description of the Related Art

As the number of transistors included on an integrated circuit “chip” continues to increase, power management in the integrated circuits continues to increase in importance. Power management can be critical to integrated circuits that are included in mobile devices such as personal digital assistants (PDAs), cell phones, smart phones, laptop computers, net top computers, etc. These mobile devices often rely on battery power, and reducing power consumption in the integrated circuits can increase the life of the battery. Additionally, reducing power consumption can reduce the heat generated by the integrated circuit, which can reduce cooling requirements in the device that includes the integrated circuit (whether or not it is relying on battery power).

Clock gating is often used to reduce dynamic power consumption in an integrated circuit, disabling the clock to idle circuitry and thus preventing switching in the idle circuitry. Additionally, some integrated circuits have implemented power gating to reduce static power consumption (e.g., consumption due to leakage currents). With power gating, the power to ground path of the idle circuitry is interrupted, reducing the leakage current to near zero.

Power gating can be an effective power conservation mechanism. On the other hand, power gating reduces performance because the power gated circuitry cannot be used until power is restored and the circuitry is initialized for use. The tradeoff between performance (especially perceived performance from the user perspective) and power conservation is complex and difficult to manage.

SUMMARY

In one embodiment, a system includes power management control that controls a duty cycle of a processor to manage power. The duty cycle may be the amount of time that the processor is powered on as a percentage of the total time to complete a task. By frequently powering up and powering down the processor during a period of time, the power consumption of the processor may be controlled while providing the perception that the processor is continuously available. For example, the processor may be a graphics processing unit (GPU), and the period of time over which the duty cycle is managed may be a frame to be displayed on the display screen viewed by a user of the system.

In an embodiment, the duty cycle may be managed based on thermal measurements in the system. If the temperature is rising, a duty cycle controller may reduce a duty cycle of the processor. A power manager for the processor may attempt to control the processor so that the utilization of the processor remains at or below the duty cycle, and otherwise in a desired range (e.g., about 70% to 90%). When the utilization is reduced, the power manager may lower the voltage and frequency to the processor. Accordingly, the processor, operating more slowly, may take longer to finish tasks and thus the utilization increases. With the lower frequency and voltage, the power consumed in the processor may be reduced and thus the temperature may decrease even though the utilization has increased.

BRIEF DESCRIPTION OF THE DRAWINGS

The following detailed description makes reference to the accompanying drawings, which are now briefly described.

FIG. 1 is a diagram illustrating power consumption over time.

FIG. 2 is a block diagram of one embodiment of a system.

FIG. 3 is a block diagram of one embodiment of a graphics processing unit (GPU) and related power management blocks.

FIG. 4 is a flowchart illustrating operation of one embodiment of a GPU control unit shown in FIG. 3.

FIG. 5 is a flowchart illustrating operation of one embodiment of a duty cycle controller shown in FIG. 3.

FIG. 6 is a diagram illustrating a transfer function between an output of a duty cycle controller and the duty cycle limit for the GPU control unit.

FIG. 7 is a block diagram illustrating one embodiment of duty cycling an on/off state of a GPU.

FIG. 8 is a block diagram of one embodiment of a computer accessible storage medium.

Specific embodiments are shown by way of example in the drawings and will herein be described in detail, but are susceptible to various modifications and alternative forms. It should be understood, however, that the drawings and detailed description thereto are not intended to limit any of the embodiments to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents and alternatives falling within the spirit and scope that is defined by the appended claims. The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description. As used throughout this application, the word “may” is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including, but not limited to.

Various units, circuits, or other components may be described as “configured to” perform a task or tasks. In such contexts, “configured to” is a broad recitation of structure generally meaning “having circuitry that” performs the task or tasks during operation. As such, the unit/circuit/component can be “configured to” perform the task even when the unit/circuit/component is not currently powered on, because it includes the circuitry that implements the task. In general, the circuitry that forms the structure corresponding to the task may include hardware circuits and/or memory. The memory may store program instructions that are executable to implement the operation. The memory can include volatile memory such as static or dynamic random access memory. Additionally or in the alternative, the memory may include nonvolatile memory such as optical or magnetic disk storage, flash memory, programmable read-only memories, etc. Similarly, various units/circuits/components may be described as performing a task or tasks, for convenience in the description. Such descriptions should be interpreted as including the phrase “configured to.” Reciting a unit/circuit/component that is configured to perform one or more tasks is expressly intended not to invoke 35 U.S.C. § 112, paragraph six interpretation for that unit/circuit/component.

DETAILED DESCRIPTION OF EMBODIMENTS

FIG. 1 is a diagram illustrating an example of dynamic power consumption over time in a processor (such as a GPU, for example). The dynamic power wave form 10 may increase at times of higher workload in the GPU, and may decrease at other times when the GPU is not busy. If a static power limit (dotted line 12) were implemented to control temperature and/or power consumption in the system, the performance of the processor would be capped such that its peak power stays under the static limit. That is, the GPU would be throttled, which may result in dropped frames or other visible discontinuities that are undesirable in the user experience. On the other hand, there may be times in which the power consumption is significantly below the limit (e.g., area 16 in FIG. 1).

In one embodiment, the power management unit described below may be configured to manage the duty cycle of a processor to control its power consumption. The power management unit may be configured to permit the processor to temporarily exceed a power budget for the processor, as long as the average power consumed remains within budget. The power management unit may implement a negative feedback loop based on the actual power consumed and the target power, and may use the error between the actual power and target power to control the duty cycle. The error in the case that the actual power is lower than the target power may be used for bursts of high power consumption when the workload of the processor increases.

Some of the embodiments below use a GPU as an example of the processor for which the power management unit is used. However, other embodiments may implement the power management unit with any processor (e.g., a central processing unit (CPU), other special purpose processors such as input/output processors (IOPs), digital signal processors (DSPs), embedded processors, microcontrollers, etc.). Still further, other embodiments may implement the power management to control fixed-function circuitry.

FIG. 2 is a block diagram of one embodiment of a system 18. In the illustrated embodiment, the system 18 includes an integrated circuit (IC) 20 which may be a system on a chip (SOC) in this embodiment. The IC 20 includes various processors such as a CPU 22 and a GPU 24. The IC 20 further includes a power management unit (PMU) 26, a clock generator 28, and one or more temperature sensors 30A-30B. The system 18 also includes a power supply 32, which may include a power measurement circuit 34 on a supply voltage provided to the GPU 24 (V_(GPU) in FIG. 2).

The PMU 26 is configured to generate voltage requests to the power supply 32, which is configured to supply the requested voltages on one or more voltage inputs to the IC 20. More particularly, the PMU 26 may be configured to transmit a request for a desired voltage magnitude (including a magnitude of zero when the corresponding circuitry is to be powered down, in some embodiments). The number of independent voltage inputs supported by the IC 20 may vary in various embodiments. In the illustrated embodiment, the V_(GPU) input is supported for the GPU 24 along with a V_(CPU) input for the CPU 22 and a V_(IC) input for the rest of the integrated circuit 20. Each voltage input may be provided to multiple input pins on the integrated circuit 20 to support enough current flow and power supply voltage stability to the supplied circuitry. Other embodiments may power the CPU with a separate supply but the GPU may receive the V_(IC) supply. Still other embodiments may include other non-CPU voltage supplies besides the V_(GPU) and V_(IC) inputs.

The supply voltage to power-gated circuits such as the GPU 24 may be controlled via voltage requests from the PMU 26, but may also be controlled via power gate controls issued internally by the PMU 26 (e.g., the Power Gate control signals shown in FIG. 2). Gating the power internally may be performed more quickly than issuing voltage requests to the power supply 32 (and powering up may be performed more quickly as well). Accordingly, voltage requests to the power supply 32 may be used to vary the magnitude of the supply voltage (to adjust an operating point of the GPU 24), and the power gating during times that the GPU 24 is sleeping (or off) may be controlled internal to the IC 20.

As mentioned above, the PMU 26 may implement a negative feedback loop to control power consumption in the GPU 24. The PMU 26 may be configured to adjust the duty cycle of the GPU 24 responsive to the error between a target power and the actual power. Generally, the duty cycle may be viewed as a limit to the percentage of time that the GPU 24 is on (not power-gated) in a given period of time. The percentage of time that the GPU 24 is on in a given period of time may be the utilization. For example, the duty cycle and utilization may be measured over a frame time, where a frame time is the period of time elapsing for the display of one frame on a display device such as monitor, a touch screen display, etc. Viewed in another way, the utilization may be the ratio of the GPU's powered up time to an overall time for the display of multiple frames. In other embodiments that control other processors or fixed function circuitry, the utilization may similarly be defined as the on time of the controlled circuitry to the total time.

The target power may be determined in a variety of fashions. For example, the target power may be programmed in a register in the PMU 26. Alternatively, the target power may be based on the operating temperature in the system (e.g., as measured by the temperature sensors 30A-30B). In yet another example for a portable system that operates on a limited power supply such as a battery, the target power may be based on the remaining battery life. Combinations of the above factors and/or other factors may be used to determine the target power.

The actual power consumed may be measured (e.g., by the power measurement circuit 34, or by a similar circuit internal to the IC 20). Alternatively, the actual power may be estimated as a function of the activity in the GPU 24 and a profile of the power consumption of various parts of the GPU 24. The profile may be based on simulation of the GPU 24 design and/or based on measurements of the GPU 24 in operation.

The PMU 26 and/or various components thereof such as shown in FIG. 3 in an embodiment may be implemented as any combination of hardware circuitry and/or instructions executed on one or more processors such as the CPU 22 and/or the GPU 24. The instructions may be stored on a computer accessible storage medium such as that shown in FIG. 8. Accordingly, a power management unit, power control unit, or controller may be any combination of hardware and/or processor execution of software, in various embodiments.

The power measurement circuit 34 may, e.g., be configured to measure the current flow on the V_(GPU) supply. Based on the requested voltage, the power consumed in the GPU 24 may be determined either by the power measurement circuit 34 or the PMU 26. The power measurement circuit 34 may, e.g., be readable by software to determine the current/power measurement or may supply the current/power measurement on an input to the IC 20.

The clock generator 28 may supply clocks to the CPU (CPU Clk in FIG. 2), the GPU (GPU Clk in FIG. 2), the PMU 26, and any other circuitry in the IC 20. The clock generator 28 may include any clock generation circuitry (e.g., one or more phase lock loops (PLLs), digital delay lock loops (DLLs), clock dividers, etc.). The clock generator 28 may be programmed by the PMU 26 to set the desired clock frequencies for the CPU clock, the GPU clock, and other clocks.

Together, the supply voltage and clock frequency of a circuit in the IC 20 may be referred to as an operating point for the circuit. The operating point may directly affect the power consumed in the circuit, since the dynamic power is proportional to the frequency and to the square of the voltage. Accordingly, the reduced power consumption in the circuit when both the frequency and the voltage are reduced may be a cubic effect. However, operating point adjustments which change only the frequency or only the voltage may be made also (as long as the circuitry operates correctly at the selected frequency with the selected voltage).

The CPU 22 may be any type of processor and may implement an instruction set architecture. Particularly, the CPU 22 may implement any general purpose instruction set architecture. The CPU 22 may have any microarchitecture, including in-order or out-of-order, speculative or non-speculative, scalar or superscalar, pipelined, multithreaded, etc.

The GPU 24 may implement any graphics application programming interface (API) architecture. The graphics API architecture may define an abstract interface that is specially purposed to accelerate graphics operations. The GPU 24 may further support various languages for general purpose computation (e.g., OpenCL), etc.

The temperature sensors 30A-30B may be any type of temperature sensing circuitry. When more than one temperature sensor is implemented, the temperature sensors may be physically distributed over the surface of the IC 20. In a discrete implementation, the temperature sensors may be physically distributed over a circuit board to which the discrete components are attached. In some embodiments, a combination of integrated sensors within the IC and external discrete sensors may be used.

It is noted that, while the illustrated embodiment includes components integrated onto an IC 20, other embodiments may include two or more ICs and any level of integration or discrete components.

Turning next to FIG. 3, a block diagram of one embodiment of the PMU 26 is shown in greater detail. The GPU 24 and the temperature sensors 30A-30B are shown as well. In the illustrated embodiment the PMU includes a summator 40 coupled to receive an actual temperature measurement from the temperature sensors 30A-30B and a target temperature (e.g., that may be programmed into the PMU 26, for example, or that may be set as a software parameter). As illustrated by the plus and minus signs on the inputs to the summator 40, the summator 40 is configured to take the difference between the target temperature and the actual temperature. The resulting temperature difference may be provided to a temperature control unit 42 which may output a target GPU power to a summator 44. The summator 44 may receive the actual GPU power from a GPU power measurement unit 46 (through a low pass filter (LPF) 48 in the illustrated embodiment). The output of the summator 44 may be the difference between the actual GPU power and the target GPU power (as illustrated by the plus and minus signs on the inputs), and may be an error in the power tracking. The difference may be input to a GPU power tracking controller 49. In the illustrated embodiment, the GPU power tracking controller 49 may include a proportional controller (PControl) 50, an integral controller (IControl) 52, a limiter 54, a summator 56, and a Max block 58. Thus, in the illustrated embodiment, the GPU power tracking controller 49 may be a proportional-integral (PI) controller. More particularly in the illustrated embodiment, the difference output from the summator 44 may be input to the PControl 50 and the IControl 52. The output of the IControl 52 may be passed through a limiter 54 to a summator 56 which also receives the output of the PControl 50, the output of which may passed through a Max block 58 to ensure that it is greater than zero. The output of the Max block 58 may be added to an application specified off time in the summator 60 to produce a desired duty cycle. A GPU control unit 62 may receive the duty cycle, and may change the GPU 24 to a different operating point in response. The available operating points may be stored in a GPU state table 64.

The summator 44 may be the beginning of the negative feedback loop that is configured to track the power error and is configured to attempt to minimize the error of the actual power exceeding the target power. In this embodiment, the actual power may be less than the target power by any amount. Other embodiments may also limit the difference between the actual power and the target power below a lower threshold, for example, to improve performance. In the illustrated embodiment, a proportional-integral (PI) control may be implemented in the GPU power tracking controller 49. The proportional component of the control may be configured to react to the current error, while the integral component may be configured to react to the error integrated over time. More particularly, the integral component may be configured to eliminate the steady state error and control the rate at which the target GPU power is reached. The amount of integral control may be limited through the limiter 54, in some embodiments, as desired. Generally, the gains of both the proportional controller 50 and integral controller 52 may be programmable, as may the limiter 54.

The summator 56 may be configured to sum the outputs of the proportional controller 50 and the limiter 54, generating a value that may be inversely proportional to the duty cycle to be implemented by the GPU control unit 62. The block 58 may ensure that the output is positive, effectively ignoring the case where the actual power is less than the target power. Together, the components 44, 50, 52, 54, 56, and 58 may be referred to as the duty cycle controller herein. In other embodiments, the duty cycle controller may output the duty cycle itself.

In the illustrated embodiment, the operation of the feedback loop may be exposed to applications. Some applications may attempt to control GPU power consumption at a higher level of abstraction, and the applications' efforts may interfere with the operation of the PMU 26. By providing exposure to the application, the PMU 26 may permit the application to have an effect on loop operation and thus the application developer may no longer include application-level efforts to control GPU power. In other embodiments, application input may not be provided and the summator 60 may be eliminated. In the illustrated embodiment, the application may specify an off time for the GPU during a given frame time.

While PI control is shown in FIG. 3 for the GPU power tracking controller 49, other embodiments may implement other control units such as including derivative control (PID), or any other subcombination of proportional, integral, and derivative control. Still further, any other control design may be used (e.g., table based).

The GPU control unit 62 may be configured to adjust the operating point of the GPU 24 based on the utilization of the GPU 24. The utilization of the GPU 24 may be viewed as the percentage of a frame time that the GPU 24 is powered up and operating. The duty cycle indicated by the duty cycle controller (and converted to duty cycle by the GPU control unit 62, as discussed in more detail below) may serve as a limit to the utilization in order to meet thermal requirements, battery life requirements, etc. However, the actual utilization may be smaller (e.g., if the GPU 24 is performing relatively simple operations each frame time, the actual utilization may be lower than the duty cycle). If the utilization is lower than the duty cycle, it may still be desirable to reduce the operating point of the GPU 24 to reduce power consumption, increasing the utilization. The duty cycle may vary between 100% (no throttling by the duty cycle controller) and a lower limit within the range of duty cycles. For example, the lower limit may be about 70% of the frame time. If the utilization is lower than a threshold amount, the GPU control unit 62 may reduce the operating point to a lower power state (e.g., lower voltage and/or frequency) to lengthen the utilization but reduce the power consumption. That is, if the utilization is low, then it appears to the control unit 62 that the GPU 24 is finishing its tasks for the frame rapidly and is sleeping for long periods of time. The GPU 24 may therefore operate at a reduced operating point and may run for longer periods. Similarly, if the utilization is high, then more performance may be needed from the GPU 24. Accordingly, the GPU control unit 62 may increase the operating point up to the limit set by the duty cycle controller.

In FIG. 3, the GPU control unit 62 is shown coupled to the GPU 24. The GPU control unit 62 may actually be coupled to the clock generator 28 (to change GPU clock frequency) and the power supply 32 (to request a different supply voltage magnitude). The GPU control unit 62 may be configured to record the current operating point of the GPU 24, and when the GPU control unit 62 determines that the operating point is to be changed, the GPU control unit 62 may be configured to read the new operating point from the GPU state table 64. That is, the GPU state table 64 may store the permissible operating points for the GPU 24, and the GPU control unit 62 may be configured to select the desired operating point from the operating points listed in the GPU state table 64.

The GPU power measurement unit 46 may be configured to measure the GPU power consumption. In some embodiments, the GPU power measurement unit 46 may receive data from the power measurement circuit 34 to measure the GPU power. In other embodiments, the GPU power measurement unit 46 may estimate the power consumption based on the activity in the GPU 24. For example, the GPU power measurement unit 46 may be configured to read a variety of performance counters in the GPU 24. The values in the performance counters, along with factors derived from simulations of the GPU 24 or direct measurements on an implementation the GPU 24, may be used to estimate the power consumption. The factors may be programmable in the GPU power measurement unit 46, fixed in hardware, or any combination of programmable and fixed factors.

In an embodiment, power consumption measurements may be made on the order of once a millisecond, while the duty cycle controller may operate more slowly (e.g., on the order of once per second). Accordingly, the low pass filter 48 may filter the measurements to smooth out the measurements and reduce momentary spikes that might occur. The low pass filter 48 may effectively “bank” power that is not consumed (e.g., in the area 16 of FIG. 1) and may permit the power consumption to possibly exceed the power budget briefly after a period of low power consumption. Other embodiments may not require the filtering and the low pass filter 48 may be eliminated.

In the illustrated embodiment, the negative feedback loop to control power may be included within a thermal loop to control temperature. For example, in FIG. 3, the temperature measured by the temperature sensors 30A-30B may be compared to the target temperature, and the temperature control unit 42 may generate a target GPU power value responsive to the difference in the temperatures. As the actual temperature rises toward the target temperature (or perhaps surpasses the target temperature), the temperature control unit 42 may be configured to reduce the target GPU power value. By reducing power consumption in the GPU 24, the temperature may be reduced and thus may approach the target temperature or remain below the target temperature.

The temperature control unit 42 may implement any control mechanism. For example, the temperature control unit 42 may include a table of temperatures and corresponding target power values. Alternatively, the temperature control unit 42 may implement PID control or any subset thereof, or any other control functionality. In other embodiments, other factors than temperature may be used to determine target power consumption. For example, desired battery life for a mobile device may be translated to target power consumption.

In one embodiment, the PMU 26 may be implemented in hardware, or a combination of hardware and software. Specifically, in an embodiment, the temperature control unit 42 may be implemented in software as part of an operating system executing in the system 18. The duty cycle controller (blocks 44, 50, 52, 54, 56, 58, and 60) may be implemented in a driver that is executed by the CPU 22 and that controls the GPU. The GPU control unit 62 may be implemented in a control thread that executes on the GPU 24 itself (referred to as the GPU firmware). It is noted that a summator may be any combination of hardware and/or software that produces a sum of the inputs to the summator (where an input having a minus sign may be negated into the sum and the sum may be a signed addition).

Turning next to FIG. 4, a flowchart is shown illustrating operation of one embodiment of the GPU control unit 62. While the blocks are shown in a particular order for ease of understanding, any order may be used. The operation of FIG. 4 may be repeated continuously during use to update the power state of the GPU 24 as its workload changes over time.

If the utilization of the GPU 24 is less than a low threshold (e.g., 70% in one example) (decision block 70, “yes” leg), the GPU control unit 62 may transition the GPU 24 to a lower power state (block 72). If the utilization of the GPU 24 is greater than a high threshold (e.g., 90% in one example) and the duty cycle is 100% (e.g., no throttling due to thermal limits) (decision block 74, “yes” leg), the GPU control unit 62 may transition the GPU 24 to a higher power state (block 76).

Turning next to FIG. 5, a flowchart is shown illustrating operation of one embodiment of the duty cycle controller (e.g., the combination of the summators 44 and 56, the PControl 50, the IControl 52, the limiter 54, and the block 58 in FIG. 3). While the blocks are shown in a particular order for ease of understanding, any order may be used.

If the actual power exceeds the target power (decision block 80, “yes” leg), the duty cycle controller may decrease the duty cycle (i.e., increase the off time) (block 82). The determination of the actual power exceeding the target power may be more than a simple mathematical comparison on the current actual power and the target power. For example, the low pass filter 48 may have captured the lack of power consumption during a time such as the area 16 in FIG. 1, and the actual power may be able to exceed the target power for a period of time to use the “unused” power from the previous low power consumption.

In some embodiments, if the target power is greater than the actual power, the duty cycle controller may not limit the utilization by controlling the duty cycle (e.g., the duty cycle may be increased up to 100%, or the off time may be zero) (decision block 84, “yes” leg and block 86).

In one embodiment, the output of the duty cycle controller (e.g., the output of the summator 60 in FIG. 3) may be a value representing the off time for the GPU 24. The GPU control unit 62 may implement a transfer function converting the off time (or amount of throttling) to a duty cycle measurement. FIG. 6 is an example of such a transfer function. If the output of the duty cycle controller is zero (e.g., the actual power is less than or equal to the target power), the duty cycle may be 100%. As the duty cycle controller output (off time) increases to a maximum amount, the duty cycle may decrease to a minimum duty cycle (line 90). Once the minimum duty cycle/maximum off time is reached, the duty cycle remains at the minimum duty cycle even if the off time output would otherwise be greater (line 92). The minimum duty cycle and/or maximum off time may be programmable or fixed in the PMU 26, in various embodiments.

FIG. 7 is a timing diagram illustrating frame times and GPU on and off times. As can be seen in FIG. 7, the on and off times need not be regular, but rather may vary over the frame times.

Turning now to FIG. 8, a block diagram of a computer accessible storage medium 200 is shown. Generally speaking, a computer accessible storage medium may include any storage media accessible by a computer during use to provide instructions and/or data to the computer. For example, a computer accessible storage medium may include storage media such as magnetic or optical media, e.g., disk (fixed or removable), tape, CD-ROM, DVD-ROM, CD-R, CD-RW, DVD-R, DVD-RW, or Blu-Ray. Storage media may further include volatile or non-volatile memory media such as RAM (e.g., synchronous dynamic RAM (SDRAM), Rambus DRAM (RDRAM), static RAM (SRAM), etc.), ROM, or Flash memory. Storage media may also include non-volatile memory (e.g., Flash memory) accessible via a peripheral interface such as the Universal Serial Bus (USB) interface, a flash memory interface (FMI), a serial peripheral interface (SPI), etc. Storage media may include microelectromechanical systems (MEMS), as well as storage media accessible via a communication medium such as a network and/or a wireless link.

The computer accessible storage medium 200 in FIG. 8 may store an operating system (OS) 202, a GPU driver 204, and a GPU firmware 206. As mentioned above, the temperature control unit 42 may be implemented in the operating system 202, the power control to generate a duty cycle may be implemented in the GPU driver 204, and the GPU control unit 62 may be implemented in the GPU firmware 206. Each of the operating system 202, the GPU driver 204, and the GPU firmware 206 may include instructions which, when executed in the system 18, may implement the operation described above. In an embodiment, the OS 202 and the GPU driver 204 may be executed on the CPU 22, and the GPU firmware 206 may be executed on the GPU 24. A carrier medium may include computer accessible storage media as well as transmission media such as wired or wireless transmission.

Numerous variations and modifications will become apparent to those skilled in the art once the above disclosure is fully appreciated. It is intended that the following claims be interpreted to embrace all such variations and modifications. 

What is claimed is:
 1. An integrated circuit comprising: a processor; a power monitor coupled to the processor and configured to generate a power measurement representing power consumed in the processor; a controller coupled to the power monitor and the processor, wherein: the controller is configured to limit a first amount of time within a given fixed time period that the processor is powered on to no more than a first limit amount, the first limit amount is determined at a current operating point of the processor to reduce an error between a target power measurement and the power measurement generated by the power monitor, the given fixed time period is one of a plurality of fixed time periods over which the processor operates, wherein the processor performs a task within each of the plurality of fixed time periods during use, and the controller is configured to control the current operating point of the processor based on the first amount of time; and a plurality of temperature sensors configured to measure a plurality of temperatures, wherein the target power measurement is generated based on the plurality of temperatures.
 2. The integrated circuit as recited in claim 1 further comprising a temperature controller coupled to the plurality of temperature sensors and configured to generate the target power measurement based on the plurality of temperatures.
 3. The integrated circuit as recited in claim 2 wherein the temperature controller implements at least one of proportional control, integral control, or derivative control.
 4. The integrated circuit as recited in claim 1 wherein the plurality of temperature sensors are physically distributed over a surface of the integrated circuit.
 5. The integrated circuit as recited in claim 1 wherein the current operating point comprises an operating voltage and an operating frequency of the processor.
 6. The integrated circuit as recited in claim 1 wherein the controller is configured to: detect that the first amount of time is less than a first threshold; and reduce the current operating point based on detecting that the first amount of time is less than the first threshold.
 7. The integrated circuit as recited in claim 6 wherein the controller is configured to: detect that the first amount of time is greater than a second threshold and that the first limit amount is at a maximum; and increase the current operating point based on detecting that the first amount of time is greater than the second threshold and that the first limit amount is at the maximum.
 8. The integrated circuit as recited in claim 1 wherein the controller comprises a second processor and a non-transitory computer accessible storage medium storing a plurality of instructions which, when executed by the second processor, causes the second processor to perform operations comprising at least a portion of operations performed by the controller during use.
 9. The integrated circuit as recited in claim 8 wherein the controller further comprises hardware circuitry configured to perform a remaining portion of operations performed by the controller during use.
 10. The integrated circuit as recited in claim 1 wherein the controller is configured to power off the processor in the given fixed time period based on completion of the task even if the first limit amount has not been exhausted.
 11. The integrated circuit as recited in claim 1 wherein the power monitor is configured to estimate the power measurement based on activity in the processor.
 12. The integrated circuit as recited in claim 1 wherein the power monitor is configured to measure power consumption from a power supply to the processor to determine the power measurement.
 13. An integrated circuit comprising: a processor; a power monitor coupled to the processor and configured to generate a power measurement representing power consumed in the processor; a controller coupled to the power monitor and the processor, wherein: the controller is configured to limit a first amount of time within a given fixed time period that the processor is powered on to no more than a first limit amount, the first limit amount is determined at a current operating point of the processor to reduce an error between a target power measurement and the power measurement generated by the power monitor, the given fixed time period is one of a plurality of fixed time periods over which the processor operates, wherein the processor performs a task within each of the plurality of fixed time periods during use, and the controller is configured to permit the processor to exceed the first limit amount subsequent to one or more of the plurality of fixed time periods in which the processor completed the task in less than the first limit amount.
 14. The integrated circuit as recited in claim 13 wherein the controller comprises an integral controller, and wherein an amount of time not consumed by the processor in the one or more of the plurality of fixed time periods is accumulated in the integral controller.
 15. The integrated circuit as recited in claim 13 further comprising a plurality of temperature sensors configured to measure a plurality of temperatures, wherein the target power measurement is generated based on the plurality of temperatures.
 16. The integrated circuit as recited in claim 15 further comprising a temperature controller coupled to the plurality of temperatures sensors and configured to generate the target power measurement based on the plurality of temperatures.
 17. The integrated circuit as recited in claim 16 wherein the temperature controller implements at least one of proportional control, integral control, or derivative control.
 18. The integrated circuit as recited in claim 15 wherein the plurality of temperature sensors are physically distributed over a surface of the integrated circuit.
 19. A method comprising: generating a power measurement representing power consumed in a processor; limiting a first amount of time within a given fixed time period that the processor is powered on to no more than a first limit amount, wherein the first limit amount is determined at a current operating point of the processor to reduce an error between a target power measurement and the power measurement from the generating step, and wherein the given fixed time period is one of a plurality of fixed time periods over which the processor operates, wherein the processor performs a task within each of the plurality of fixed time periods during use; controlling the current operating point of the processor based on the first amount of time; and measuring a plurality of temperatures in a plurality of temperature sensors, wherein the target power measurement is generated based on the plurality of temperatures.
 20. The method as recited in claim 19 further comprising permitting the processor to exceed the first limit amount subsequent to one or more of the plurality of fixed time periods in which the processor completed the task in less than the first limit amount. 